
SEPIA is a system for improving research data at HZB by enabling the consistent identification of physical samples and the management of their associated metadata. It provides reliable linking between samples, experimental datasets, researchers and investigations. Through integrated IGSN minting, samples can be tracked across multiple experiments and facilities. SEPIA streamlines sample management, enhances collaboration, and supports traceability throughout the full research lifecycle.
Overview of SEPIA, the sample database being developed at HZB
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
